Search Results (64)

Background/Objectives: Chromosomal microarray analysis (CMA) is an essential tool in modern cytogenetics for detecting copy number alterations and copy-neutral loss of heterozygosity (CN-LOH). As optical genome mapping (OGM) emerges as a potential replacement for traditional cytogenetic methods, the extent to which CMA remains necessary in routine diagnostic workflows remains to be elucidated. Methods: We retrospectively reviewed 53 primary neoplastic cases, selected from a larger cohort of 327 hematologic malignancy specimens, in which CMA identified one or more CN-LOH events. Event size, genomic content, and correlation with next-generation sequencing (NGS) findings were assessed. A separate cohort of newly diagnosed B-cell acute lymphoblastic leukemia (B-ALL) was analyzed to evaluate disease-specific CN-LOH frequency. Results: Nearly half of CN-LOH events detected were <25 Mb, below the current detection threshold of OGM inferred from published benchmarks and validated workflows. Many encompassed clinically relevant genes, including FLT3, JAK2, TET2, TP53, and RUNX1. Additionally, two-thirds of cases harbored pathogenic or likely pathogenic variants by NGS within the corresponding CN-LOH regions, further underscoring the clinical value of detecting these copy-neutral events. In contrast, CN-LOH was uncommon in B-ALL, and most alterations identified by CMA would be detectable by OGM. Many of these patients also harbored complex structural rearrangements that required multiple conventional assays for full characterization; these could be resolved by OGM in a single analysis. Conclusions: Our findings indicate that although OGM excels at resolving complex structural variants, CMA remains essential for detecting copy-neutral events. Until OGM achieves improved sensitivity for CN-LOH, an integrated approach utilizing conventional cytogenetics, CMA, NGS, and OGM provides the most reliable framework for comprehensive genomic assessment across cancer types. Full article

Background: Autosomal recessive intellectual developmental disorder-13 (MRT13; OMIM #613192) is a rare neurodevelopmental disorder caused by pathogenic variants in TRAPPC9. Most reported variants are single-nucleotide variants (SNVs), small insertions/deletions, or copy number variants (CNVs), whereas complex structural variants (SVs) remain poorly characterized. Objectives: This study sought to review the clinical and molecular spectrum of TRAPPC9-related disorder, harmonize reported variants, explore genotype–phenotype correlations, and expand the mutational spectrum by reporting a novel patient with a cryptic SV. Methods: We report a novel patient whose diagnostic workup included array-CGH, whole-exome sequencing, karyotyping, and optical genome mapping. Additionally, a systematic literature search was primarily conducted in PubMed/MEDLINE from 2009 to January 2026, with Embase, Web of Science, Google Scholar, Orphanet, OMIM, and ClinVar used as supplementary sources. Patients carrying pathogenic/likely pathogenic TRAPPC9 variants were included. Clinical and molecular data were extracted and descriptively summarized. Genotype–phenotype correlations were explored. Reported variants were re-annotated using MANE Select reference transcripts. Results: The reported patient showed biallelic TRAPPC9 disruption due to two independently inherited structural variants: a maternal ~35 kb intragenic deletion involving exons 10–12, identified by 400K array-CGH, and a paternal balanced translocation t(4;8) disrupting TRAPPC9 within intron 8, characterized by trio-OGM and paired-end whole-genome sequencing (PE-WGS). Thirty-one studies reporting 75 previously published patients were included in the literature review; together with the novel patient described here, the final cohort comprised 76 patients. Intellectual disability was present in 100% of cases, followed by brain MRI abnormalities (95.9%), microcephaly (82.3%), motor delay (71.4%), dysmorphic features (69.8%), obesity (52.8%), behavioral abnormalities/autism spectrum disorder (49.2%/43.8%), and epilepsy (15.9%). Most patients (84.2%) harbored homozygous variants. Thirty-two distinct sequence variants were identified, predominantly loss-of-function. CNVs were identified in 13.2% of patients. No genotype–phenotype correlations were identified. Conclusions: The systematic review provides an updated and harmonized overview of the clinical and molecular spectrum of TRAPPC9-related disorder, supporting the presence of a recognizable phenotype and confirming the predominance of loss-of-function variants. Our case further highlights the contribution of cryptic structural variants to the mutational spectrum of TRAPPC9 and the diagnostic value of advanced genomic approaches. Full article

Background: Optical genome mapping (OGM) detects genome-wide structural variants (SVs), including balanced rearrangements and complex copy-number alterations beyond standard-of-care cytogenomic assays. In chronic lymphocytic leukemia (CLL), cytogenetic and genomic risk stratification is traditionally based on fluorescence in situ hybridization (FISH), karyotyping, targeted next-generation sequencing (NGS), and immunogenetic assessment of immunoglobulin heavy chain variable region (IGHV) somatic hypermutation status, each of which interrogates only a limited aspect of disease biology. Methods: We retrospectively evaluated fifty patients with CLL using OGM and integrated these findings with cytogenomics, targeted NGS, IGHV mutational status, and clinical time-to-first-treatment (TTFT) data. Structural variants were detected using OGM and pathogenic NGS variants were derived from a clinical heme malignancy panel. Clinical outcomes were extracted from the electronic medical record. Results: OGM identified reportable structural variants in 82% (41/50) of cases. The most frequent abnormality was del(13q), observed in 29/50 (58%) and comprising 73% (29/40) of all OGM-detected deletions with pathologic significance. Among these, 12/29 (42%) represented large RB1-spanning deletions, while 17/29 (58%) were focal deletions restricted to the miR15a/miR16-1 minimal region, mapping to the non-coding host gene DLEU2. Co-occurrence of adverse lesions, including deletion 11q/ATM, BIRC3 loss, trisomy 12, and deletion 17p/TP53, were recurrent and strongly associated with shorter TTFT. OGM also uncovered multiple cryptic rearrangements involving chromosomal loci that are not represented in the canonical CLL FISH probe panel, including IGL::CCND1, IGH::BCL2, IGH::BCL11A, IGH::BCL3, and multi-chromosomal copy-number complexity. IGHV data were available in 37/50 (74%) of patients; IGHV-unmutated status frequently co-segregated with OGM-defined high-risk profiles (del(11q), del(17p), trisomy 12 with secondary hits, and complex genomes whereas mutated IGHV predominated in OGM-negative or structurally simple del(13q) cases and aligned with indolent TTFT. Integration of OGM with NGS further improved genomic risk classification, particularly in cases with discordant or inconclusive routine testing. Conclusions: OGM provides a comprehensive, genome-wide view of structural variation in CLL, resolving deletion architecture, identifying cryptic translocations, and defining complex multi-hit genomic profiles that tracked closely with clinical behavior. Combining OGM and NGS analysis refined risk stratification beyond standard FISH panels and supports more precise, individualized management strategies in CLL. Prospective studies are warranted to evaluate the clinical utility of OGM-guided genomic profiling in contemporary treatment paradigms. Full article

Background: Pyridoxine-dependent epilepsy (PDE) is a rare disorder characterized by seizures resistant to conventional treatments but responsive to pyridoxine therapy. Typically caused by biallelic variants in ALDH7A1, PNPO, or PLPBP, a few patients present a similar clinical phenotype but without confirmed molecular diagnoses. We report a child with a 13-year PDE diagnosis and normal intellectual development, whose seizures recurred after pyridoxine withdrawal but resolved with reintroduction, despite unremarkable whole-exome sequencing results. Methods: Following negative results from WES, optical genome mapping (OGM) and whole-genome sequencing (WGS) were performed to highlight any potential structural variants involving known PDE-associated genes. Results: OGM and WGS revealed a recurrent 16p11.2 BP4-5 duplication, inherited from his healthy father, along with a de novo chromothripsis-type unbalanced t(1;18)(p22.3;q12.3), affecting several genes not currently associated with epilepsy (RIT2, PIK3C3, COL24A1, LRRC8D, DIPK1A, and DPYD), with RIT2 being a plausible candidate for the neurological phenotype due to its neuron-specific expression along with a likely reshuffling of topologically associating domains (TADs) involving SYT4, an epilepsy-candidate gene. Discussion: While the molecular data do not pinpoint a single gene or locus as the cause of seizures in this case, a key aspect of our patient’s phenotype is true pyridoxine dependence, rather than just pyridoxine responsiveness. We propose that the genomic complexity associated with the chromothriptic t(1;18) and the 16p11.2 BP4-5 duplication may create a unique metabolic environment in which pyridoxine-dependent pathways are disrupted through unconventional mechanisms. The preservation of cognitive function in our case has been observed in small groups of PDE patients, especially those diagnosed and treated early. This may indicate a distinct phenotypic subgroup that warrants further genetic investigation. Full article

Background/Objectives: Gene rearrangements involving oncogenes are major drivers in acute leukemia, influencing disease classification, prognosis, and therapeutic decision-making. Targeted RNA sequencing (RNA-Seq) panels capable of detecting intergenic and intragenic fusions across multiple genes are increasingly used in diagnostic settings. However, comparative evaluation with orthogonal technologies remains limited. Material and Methods: We compared the performance of a 108-gene anchored multiplex PCR (AMP)-based RNA-Seq panel with that of Optical Genome Mapping (OGM) in 467 acute leukemia cases. The cohort included 360 cases of acute myeloid leukemia (AML), 89 B-lymphoblastic leukemia (B-ALL), 12 T-lymphoblastic leukemia (T-ALL), and 6 cases of mixed phenotype acute leukemia (MPAL). Results: Results of both methods were concordant in 175 (74.7%) of 234 detected gene/rearrangement fusions. The concordance rate varied significantly across different leukemia types, ranging from 80.2% in B-ALL to 41.7% in T-ALL (p < 0.001) OGM uniquely detected 37 of 234 (15.8%) clinically relevant rearrangements, whereas RNA-Seq exclusively identified 22 of 234 (9.4%). Enhancer-hijacking lesions, including MECOM and BCL11B rearrangements, CDK6::MNX1, and IGH rearrangements, had a markedly lower concordance (20.6%) compared with all other aberrations (93.1%) (p < 0.001). Conversely, some gene fusions arising from intrachromosomal deletions were interpreted by OGM as simple deletions rather than rearrangements or fusions. Conclusions: Targeted RNA-Seq was effective for detecting chimeric fusion transcripts and showed slightly better performance in identifying fusions resulting from deletions. However, OGM was effective for detecting enhancer-hijacking events that do not generate fusion transcripts. Both methods are complementary for the workup of acute leukemia cases. Full article

Background: Acute lymphoblastic leukemia (ALL) is a genetically heterogeneous malignancy driven by structural variants (SVs) that impact diagnosis, prognosis, and treatment. Traditional methods such as karyotyping, FISH, and PCR often fail to detect cryptic or complex rearrangements, which are critical for accurate risk stratification. Methods: Optical Genome Mapping (OGM) is a technology that directly analyzes ultra-high-molecular-weight DNA, enabling the identification of balanced and unbalanced SVs, copy number variations (CNVs), and gene fusions with high resolution. This review compares the advantages and limitations of OGM versus standard techniques in ALL. Results: OGM improves ALL diagnosis by detecting clinically relevant alterations such as IKZF1 deletions, cryptic KMT2A rearrangements, and kinase fusions, especially in cases with normal or uninformative karyotypes. It reduces artifacts by eliminating cell culture and shortens reporting times. OGM resolves complex events like intrachromosomal amplifications and chromothripsis, enhancing classification and therapy decisions. Limitations include reduced sensitivity in repetitive regions, challenges in detecting Robertsonian translocations, difficulties with complex ploidies, and lower sensitivity for low-frequency subclones. Conclusions: Integrating OGM with next-generation sequencing (NGS) allows comprehensive genomic profiling, improving diagnosis, prognosis, and personalized treatment in ALL. Future advancements promise to further enhance the clinical utility of OGM. Full article

Acute lymphoblastic leukemia (ALL) is a heterogeneous hematologic malignancy defined by the uncontrolled proliferation of lymphoid precursors. Accurate diagnosis and effective therapeutic strategies hinge on a comprehensive understanding of the genetic and molecular landscape of ALL. This review synthesizes the latest updates in cytogenetic and molecular classifications, emphasizing the 2022 World Health Organization (WHO) and International Consensus Classification (ICC) revisions. Key chromosomal alterations such as BCR::ABL1 and ETV6::RUNX1 and emerging subtypes including Ph-like ALL, DUX4, and MEF2D rearrangements are examined for their prognostic significance. Furthermore, we assess novel diagnostic tools, notably next-generation sequencing (NGS) and optical genome mapping (OGM). While NGS excels at identifying point mutations and small indels, OGM offers high-resolution structural variant detection with 100% sensitivity in multiple validation studies. These advancements enhance our grasp of leukemogenesis and pave the way for precision medicine in both B- and T-cell ALL. Ultimately, integrating these innovations into routine diagnostics is crucial for personalized patient management and improving clinical outcomes. Full article

Background/Objectives: Optical genome mapping (OGM) has recently emerged as a new technology in the clinical cytogenomics laboratories. This methodology has the ability to detect balanced and unbalanced structural rearrangements using ultra-high molecular weight DNA. This article discusses the uses of this new technology in both constitutional and somatic settings, its advantages as well as opportunity for improvements. Methods: We reviewed the medical and scientific literature for methodology and current clinical uses of OGM. Results: OGM is a recent addition to the methods used in cytogenomics laboratories and can detect a wide range of structural and copy number variations across a plethora of diseases. Conclusions: Clinical cytogenomics is an important laboratory specialty for which various technologies have been validated over the last several decades to improve detection of copy number and structural variations and their association to human disease. OGM has proven to be a powerful tool in the arsenal of clinical laboratories and provides a unified workflow for the detection of chromosomal aberrations across a wide range of diseases. Full article

Optical genome mapping (OGM) is a novel, high-resolution technology for genome-wide detection of structural variants, offering clear advantages over conventional cytogenetics in hematologic malignancies. We applied OGM to a large cohort of patients with acute myeloid leukemia (AML), myelodysplastic syndromes (MDSs), and B-cell acute lymphoblastic leukemia (B-ALL) to evaluate its clinical utility. In AML and MDS, it revealed high-risk alterations such as deletions in 5q31–5q32 and 7q22, and cryptic fusions like NUP98::NSD1 that were missed by karyotyping or FISH. It also identified chromoanagenesis, a catastrophic chromosomal event linked to poor prognosis and often undetectable by standard methods. In B-ALL, OGM uncovered clinically relevant deletions in CDKN2A/B, PAX5, and IKZF1, as well as high-risk ploidy changes like hypodiploidy and hyperdiploidy, all important for risk assessment and frequently underdetected. OGM not only refines diagnosis and improves risk stratification but can also uncover cryptic and complex genomic abnormalities. Our findings support its integration into routine diagnostics to enhance classification, guide treatment decisions, and improve patient outcomes. Full article

Over the past several decades, clinical cytogenetics has branched out from the use of light microscopy and examination of banded chromosomes to embrace multiple newer techniques, including fluorescence in situ hybridization (FISH), multiple generations of microarray designs, as well as the newest technologies, namely, optical genome mapping (OGM) and genomic proximity mapping (GPM). While these newer technologies have had an increasingly molecular genetic focus over time, they are still rooted in the field of cytogenetics, the genetics of the single cell. This review provides a brief overview of the earliest, as well as the most recent, techniques available to clinical cytogenetics laboratories for both constitutional and neoplastic testing and discusses some advantages and disadvantages of each. Full article

Background and Objective: The primary objective of this study is to evaluate the added value of optical genome mapping (OGM) when integrated into the standard cytogenetic workup (SCGW) for hematological malignancies. Methods: The study cohort comprised 519 cases with different types of hematological malignancies. OGM and SCGW (including G-banded karyotyping and fluorescence in situ hybridization) were performed on blood and/or bone marrow. The analytical sensitivity of OGM, defined as the detection of all additional cytogenomic aberrations, and its clinical utility, referring to aberrations with diagnostic, prognostic, or therapeutic significance, were assessed. Results: OGM led to increased analytical sensitivity and clinical utility in 58% and 15% of the cases, respectively. The clinical utility varied across different malignancies, with the highest utility in T-lymphoblast leukemia (52%), followed by mixed phenotype acute leukemia (43%), B-lymphoblastic leukemia (37%), other B-cell lymphomas (22%), mature T-cell leukemia/lymphoma (20%), chronic lymphocytic leukemia (14%), acute myeloid leukemia (13%), multiple myeloma (13%), mantle cell lymphoma (8%), myelodysplastic/myeloproliferative neoplasms (6%), myelodysplastic syndrome (5%), and myeloproliferative neoplasms (0%). Conclusion: Compared to SCGW, OGM detects additional cytogenomic aberrations in approximately 58% of cases. OGM provides clinical utility at varying rates across different types of hematological malignancies. Given these differences, strategic triaging can help maximize the clinical value of OGM by focusing on diseases where it offers the most significant benefit. Full article

Sarcomas are rare malignant tumors of mesenchymal origin with a high misdiagnosis rate due to their heterogeneity and low incidence. Conventional diagnostic techniques, such as Fluorescence In Situ Hybridization (FISH) and Next-Generation Sequencing (NGS), have limitations in detecting structural variations (SVs), copy number variations (CNVs), and predicting clinical behavior. Optical genome mapping (OGM) provides high-resolution genome-wide analysis, improving sarcoma diagnosis and prognosis assessment. This study analyzed 53 sarcoma samples using OGM. Ultra-high molecular weight (UHMW) DNA was extracted from core and resection biopsies, and data acquisition was performed with the Bionano Saphyr platform. Bioinformatic pipelines identified structural variations, comparing them with known alterations for each sarcoma subtype. OGM successfully analyzed 62.3% of samples. Diagnostic-defining alterations were found in 95.2% of cases, refining diagnoses and revealing novel oncogenic and tumor suppressor gene alterations. The challenges included DNA extraction and quality issues from some tissue samples. Despite these limitations, OGM proved to be a powerful diagnostic and predictive tool for bone and soft tissue sarcomas, surpassing conventional methods in resolution and scope, enhancing the understanding of sarcoma genetics, and enabling better patient stratification and personalized therapies. Full article

Background: KMT2A rearrangements occur in ~10% of acute myeloid leukemia (AML) cases and are critical for classification, risk stratification, and use of targeted therapy. However, insertions involving the KMT2A gene can evade detection using chromosomal analysis and/or fluorescence in situ hybridization (FISH). Methods: We present a case of a 22-year-old woman with acute monoblastic leukemia harboring a cryptic KMT2A::AFDN fusion identified by RNA sequencing. Initial FISH showed a 3′ KMT2A deletion, while conventional karyotyping and the automated bioinformatic pipeline for optical genome mapping (OGM) did not identify the canonical translocation. Results: To resolve these discrepancies, metaphase KMT2A FISH (break-apart fusion probe) was performed to assess whether KMT2A was translocated to another chromosome. However, the results did not support this possibility. As the fusion signal remained on the normal chromosome 11, with the 5′ KMT2A signal localized to the derivative chromosome 11. A subsequent manual review of the OGM data revealed a cryptic ~300 kb insertion of AFDN into the 3′ region of KMT2A, reconciling the discrepancies between chromosomal analysis, FISH, and RNA fusion results. Conclusions: This case highlights the importance of integrating multiple testing modalities with expert review when there is a discrepancy. Our findings emphasize the need for a comprehensive approach to genomic assessment to enhance diagnostic accuracy and guide therapeutic decision-making. Full article

Chronic lymphocytic leukemia (CLL) is the most common type of adult leukemia, particularly in Western countries. CLL can present indolently or aggressively, influenced by various factors, including chromosomal alterations. Fluorescent in situ hybridization (FISH), targeting specific genes/loci frequently affected in CLL patients, has established a standard for stratifying five CLL prognostic groups: del(11q)/ATM, trisomy 12, del(13q) as a sole aberration, del(17p)/TP53, and normal CLL FISH panel results. Among these, del(13q) as a sole aberration is associated with a favorable prognosis, while the others are considered intermediate (normal CLL FISH panel result and trisomy 12) or unfavorable (del(11q)/ATM and del(17p)/TP53) prognostic markers. However, significant heterogeneity in del(13q) aberrations has been observed among CLL patients with isolated del(13q), which should be considered when predicting prognosis and planning clinical management for individual CLL patients with this aberration. This review discusses the variations in del(13q) aberrations in CLL, including a minimally deleted region (MDR), the anatomic sizes of deleted 13q regions, affected alleles, the clone sizes of del(13q), and their dynamic changes during disease progression. The impact of del(13q) heterogeneity on various diagnostic tests such as karyotyping, the FISH panel, chromosomal microarray (CMA), and optical genome mapping (OGM), prognostic prediction, and clinical management is illustrated through authentic clinical scenarios. Full article

Rare diseases (RDs) often have a genetic basis, yet conventional diagnostic techniques fail to identify causative genetic variations in up to 50% of cases. Structural variants (SVs), including balanced rearrangements, frequently evade detection by karyotyping, microarray, and exome sequencing. The present study utilized optical genome mapping (OGM) to investigate two patients with RDs whose genetic etiology remained unresolved despite prior genomic analyses. Patient 1 exhibited a balanced reciprocal translocation disrupting the BCL11A gene, associated with Dias-Logan syndrome. Patient 2 had a mosaic 682 kb deletion near the IHH gene, causing ectopic enhancer–promoter interactions and polydactyly, mirroring phenotypes observed in mouse models and similar human cases. These findings highlight OGM’s efficacy in identifying complex SVs and underline novel pathogenic mechanisms in rare genetic disorders. Consequently, the incorporation of OGM into routine diagnostic procedures will enhance genetic diagnosis, discover new syndromes of currently unknown cause, and eventually improve the clinical management of numerous patients with rare diseases. Full article